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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn1520-5029pt
dc.typeArtigo de Periódicopt_BR
dc.titleDetermination Of Saturates, Aromatics, And Polars In Crude Oil By C-13 Nmr And Support Vector Regression With Variable Selection By Genetic Algorithmpt_BR
dc.contributor.authorFilgueiraspt_BR
dc.contributor.authorPR; Portelapt_BR
dc.contributor.authorNA; Silvapt_BR
dc.contributor.authorSRC; Castropt_BR
dc.contributor.authorEVR; Oliveirapt_BR
dc.contributor.authorLMSL; Diaspt_BR
dc.contributor.authorJCM; Netopt_BR
dc.contributor.authorAC; Romaopt_BR
dc.contributor.authorW; Poppipt_BR
dc.contributor.authorRJpt_BR
unicamp.author.emailronei@iqm.unicamp.brpt_BR
dc.subjectField H-1-nmr Relaxometrypt_BR
dc.subjectPartial Least-squarespt_BR
dc.subjectMultivariate Calibrationpt_BR
dc.subjectDiesel Blendspt_BR
dc.subjectPredictionpt_BR
dc.subjectChemometricspt_BR
dc.subjectSpectroscopypt_BR
dc.subjectPetroleumpt_BR
dc.subjectBiodieselpt_BR
dc.subjectViscositypt_BR
dc.description.abstractThe contents of saturates, aromatics, and polars in crude oil were determined using carbon-13 nuclear magnetic resonance spectroscopy (C-13 NMR) associated with support vector regression (SVR) and a genetic algorithm (GA) for the simultaneous selection of spectral variables and SVR model parameters. The developed models presented prediction sample errors of 4.4% (w/w) for saturates, 4.3% (w/w) for aromatics (w/w), and 3.7% (w/w) for polars. These results are acceptable for the petroleum industry, considering that the error obtained by the standard methodology is 5% (w/w), which is the maximum value of variation allowed in SARA analysis. The proposed methodology made these determinations using small amounts of samples (approximately 2 mL) in a relatively short time (approximately 2 h).en
dc.relation.ispartofEnergy & Fuelspt_BR
dc.publisher.cityWASHINGTONpt_BR
dc.publisherAMER CHEMICAL SOCpt_BR
dc.date.issued2016pt_BR
dc.identifier.citationEnergy & Fuels. AMER CHEMICAL SOC, n. 30, n. 3, p. 1972 - 1978.pt_BR
dc.language.isoEnglishpt_BR
dc.description.volume30pt_BR
dc.description.firstpage1972pt_BR
dc.description.lastpage1978pt_BR
dc.rightsfechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0887-0624pt_BR
dc.identifier.wosidWOS:000372562800049pt_BR
dc.identifier.doi10.1021/acs.energyfuels.5b02377pt_BR
dc.identifier.urlhttp://pubs-acs-org.ez88.periodicos.capes.gov.br/doi/abs/10.1021/acs.energyfuels.5b02377pt_BR
dc.description.sponsorshipFAPESpt_BR
dc.description.sponsorshipCAPESpt_BR
dc.description.sponsorshipCNPqpt_BR
dc.description.sponsorship1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.date.available2016-12-06T18:30:31Z-
dc.date.accessioned2016-12-06T18:30:31Z-
dc.description.provenanceMade available in DSpace on 2016-12-06T18:30:31Z (GMT). No. of bitstreams: 1 000372562800049.pdf: 1299906 bytes, checksum: 3bb5ecf8493aaa62b39c7cb21c97920f (MD5) Previous issue date: 2016en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320047-
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